Performance of Fasting Plasma Glucose and Postprandial Urine Glucose in Screening for Diabetes in Chinese High-risk Population  

作　　者：Bing-Quan Yang Yang Lu Jia-Jia He Tong-Zhi Wu Zuo-Ling Xie Cheng-Hao Lei Yi Zhou Jing Han Mei-Qi Bian Hong You De-Xian Mei Zi-Lin Sun 

机构地区：[1]Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China [2]Hi-Tech Research Institute of Nanjing Tech University, Nanjing, Jiangsu 210009, China [3]Discipline of Medicine and Centre of Research Excellence in Translating Nutritional Science to Good Health, University of Adelaide, Adelaide, SA 5005, Australia [4]Department of Internal Medicine, Xuanwumen Community Health Service Center, Nanjing, Jiangsu 210009, China [5]Department of Internal Medicine, Tongren Community Health Service Center, Nanjing, Jiangsu 210008, China

出　　处：《Chinese Medical Journal》2015年第24期3270-3275,共6页中华医学杂志（英文版）

基　　金：This study was funded by the Key Program of Jiangsu Natural Science Foundation，sponsored by the San Chuang Joint Project of Nanjing New and High Technology Industry Development Zone

摘　　要：Background： The conventional approaches to diabetes screening are potentially limited by poor compliance and laboratory demand. This study aimed to evaluate the performance of fasting plasma glucose （FPG） and postprandial urine glucose （PUG） in screening for diabetes in Chinese high-risk population. Methods： Nine hundred and nine subjects with high-risk factors of diabetes underwent oral glucose tolerance test after an overnight fast. FPG, hemoglobin A 1 c, 2-h plasma glucose （2 h-PG）, and 2 h-PUG were evaluated. Diabetes and prediabetes were defined by the American Diabetes Association criteria. The area under the receiver operating characteristic （ROC） curve was used to evaluate the diagnostic accuracy of 2 h-PUG, and the optimal cut-off determined to provide the largest Youden index. Spearman correlation was used for relationship analysis. Results： Among 909 subjects, 33.4% （304/909） of subjects had prediabetes, and 17.2% （156/909） had diabetes. The 2 h-PUG was positively related to FPG and 2 h-PG （r = 0.428 and 0.551, respectively, both P 〈 0.001）. For estimation of 2 h-PG 〉 7.8 mmol/L and 2 h-PG ≥ 11.I mmol/L using 2 h-PUG, the area under the ROC curve were 0.772 （95% confidence interval [CI]： 0.738-0.806） and 0.885 （95% CI：0.850-0.921 ）, respectively. The corresponding optimal cut-offs for 2 h-PUG were 5.6 mmol/L and 7.5 retool/L, respectively. Compared with FPG alone, FPG combined with 2 h-PUG had a higher sensitivity fbr detecting glucose abnormalities （84.1% vs. 73.7%, P〈 0.001） and diabetes （82.7% vs. 48.1%, P〈 0.001）. Conclusion： FPG combined with 2 h-PUG substantially improves the sensitivity in detecting prediabetes and diabetes relative to FPG alone, and may represent an efficient layperson-oriented diabetes screening method.Background： The conventional approaches to diabetes screening are potentially limited by poor compliance and laboratory demand. This study aimed to evaluate the performance of fasting plasma glucose （FPG） and postprandial urine glucose （PUG） in screening for diabetes in Chinese high-risk population. Methods： Nine hundred and nine subjects with high-risk factors of diabetes underwent oral glucose tolerance test after an overnight fast. FPG, hemoglobin A 1 c, 2-h plasma glucose （2 h-PG）, and 2 h-PUG were evaluated. Diabetes and prediabetes were defined by the American Diabetes Association criteria. The area under the receiver operating characteristic （ROC） curve was used to evaluate the diagnostic accuracy of 2 h-PUG, and the optimal cut-off determined to provide the largest Youden index. Spearman correlation was used for relationship analysis. Results： Among 909 subjects, 33.4% （304/909） of subjects had prediabetes, and 17.2% （156/909） had diabetes. The 2 h-PUG was positively related to FPG and 2 h-PG （r = 0.428 and 0.551, respectively, both P 〈 0.001）. For estimation of 2 h-PG 〉 7.8 mmol/L and 2 h-PG ≥ 11.I mmol/L using 2 h-PUG, the area under the ROC curve were 0.772 （95% confidence interval [CI]： 0.738-0.806） and 0.885 （95% CI：0.850-0.921 ）, respectively. The corresponding optimal cut-offs for 2 h-PUG were 5.6 mmol/L and 7.5 retool/L, respectively. Compared with FPG alone, FPG combined with 2 h-PUG had a higher sensitivity fbr detecting glucose abnormalities （84.1% vs. 73.7%, P〈 0.001） and diabetes （82.7% vs. 48.1%, P〈 0.001）. Conclusion： FPG combined with 2 h-PUG substantially improves the sensitivity in detecting prediabetes and diabetes relative to FPG alone, and may represent an efficient layperson-oriented diabetes screening method.

关 键 词：Diabetes Screening Fasting Plasma Glucose GLYCOSURIA PREDIABETES Population-based Study Type 2 Diabetes 

分 类 号：TS218[轻工技术与工程—粮食、油脂及植物蛋白工程] S896.6[轻工技术与工程—食品科学与工程]